An artificial immune system-based anomaly detection method applied on a temperature control system
by Bruno Willian de Souza Arruda; Robson Pacífico Guimarães Lima; Cleonilson Protásio De Souza
International Journal of Industrial Electronics and Drives (IJIED), Vol. 1, No. 3, 2014

Abstract: Artificial immune systems are algorithms inspired on biological immune systems and are being considered as one of the most promising nature-inspired strategies for optimisation and anomaly detection. In another way, the most common form of feedback in all areas, where automatic control is necessary, is the proportional-integral-derivative (PID) control. In this way, it is important to design methods in order to monitor PID controllers against failures, since a faulty PID controller may give rise to malfunctions or even breakdown, damages or accidents. In this paper, an immune system-based anomaly detection system applied to PID controller is presented. It has developed a complete PID controller based on Arduino architecture in order to control temperature of a heater. This system is interconnected to a LabVIEW™-based tool, running on a personal computer (PC), which executes all phases of the proposed immune-based anomaly detection system. In this way, faults occurring in the system can be detected online. Experimental results show the efficiency of the proposed immune detection system.

Online publication date: Sat, 30-Aug-2014

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